{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:35:40Z","timestamp":1740148540609,"version":"3.37.3"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T00:00:00Z","timestamp":1586304000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002546","name":"Sejong University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002546","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2020,4,8]]},"abstract":"<jats:p>The monitors of oscillometry blood pressure measurements are generally utilized to measure blood pressure for many subjects at hospitals, homes, and office, and they are actively studied. These monitors usually provide a single blood pressure point, and they are not able to indicate the confidence interval of the measured quantity. In this paper, we propose a new technique using a recursive ensemble based on a support vector machine to estimate a confidence interval for oscillometry blood pressure measurements. The recursive ensemble is based on a support vector machine that is used to effectively estimate blood pressure and then measure the confidence interval for the systolic blood pressure and diastolic blood pressure. The recursive ensemble methodology provides a lower standard deviation of error, mean error, and mean absolute error for the blood pressure as compared to those of the conventional techniques.<\/jats:p>","DOI":"10.1155\/2020\/7360702","type":"journal-article","created":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T23:32:13Z","timestamp":1586388733000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Support Vector Regression-Based Recursive Ensemble Methodology for Confidence Interval Estimation in Blood Pressure Measurements"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5328-8923","authenticated-orcid":true,"given":"Soojeong","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7991-3862","authenticated-orcid":true,"given":"Gangseong","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1097\/00004872-200305000-00001"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1017\/S0265021506000688"},{"issue":"6","key":"3","first-page":"339","volume":"3","year":"1998","journal-title":"Blood Pressure Monitoring"},{"year":"1993","key":"4"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2006.1637979"},{"key":"7","first-page":"61","volume":"20","year":"2007","journal-title":"Gazi University Journal of Science"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/MIM.2002.1005654"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2011.2161926"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/33\/6\/881"},{"year":"2003","key":"11"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2612640"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2701800"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-0913-x"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2484278"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1177013815"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2015.04.015"},{"year":"1999","key":"19"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176345636"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.1986.10475419"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2006.03.016"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"volume-title":"Improvements to Tic and Toc Functions for Measuring Absolute Elapsed Time Performance in MATLAB","year":"2011","key":"24"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2020\/7360702.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2020\/7360702.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2020\/7360702.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T23:32:18Z","timestamp":1586388738000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2020\/7360702\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,8]]},"references-count":22,"alternative-id":["7360702","7360702"],"URL":"https:\/\/doi.org\/10.1155\/2020\/7360702","relation":{},"ISSN":["1687-725X","1687-7268"],"issn-type":[{"type":"print","value":"1687-725X"},{"type":"electronic","value":"1687-7268"}],"subject":[],"published":{"date-parts":[[2020,4,8]]}}}